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at the convergence of artificial intelligence (AI) and physics. The ideal candidate should possess expertise in physics-informed/constrained machine learning—topics including, but not limited to: Physics-informed
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candidate should possess expertise in natural language processing and machine learning. Relevant experience includes (but is not limited to) toxic content detection, debiasing methods for large language
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/or machine/deep learning. Experience with statistical/scientific programming languages (expertise in Python, Matlab, and/or R preferred). Topical expertise in statistical and computational approaches
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quality decision-making process. Our objective is to create a chemical transport/machine learning model framework that informs and incorporates community preferences in a timely manner and with evidence
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to support University projects or programs. They focus primarily on learning and applying high-level data projections and statistical analysis. They independently manage the design and programming of all data